Richard Yi Da Xu

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 72

Top Topics

Nonparametric Bayesian

Pose Estimation

Matrix Factorisation

Reinforcement Learning

Top Venues

Pattern Recognit. Lett.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Shengchao Zhou, Gaofeng Meng, Zhaoxiang Zhang, Richard Yi Da Xu, Shiming Xiang
Robust Feature Rectification of Pretrained Vision Models for Object Recognition. AAAI (2023)
Hong-Bo Xie, Caoyuan Li, Shuliang Wang, Richard Yi Da Xu, Kerrie L. Mengersen
A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning. CoRR (2023)
Can Zhang, Richard Yi Da Xu, Xu Zhang, Wanming Huang
Capture and control content discrepancies via normalised flow transfer. Pattern Recognit. Lett. 165 (2023)
Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, Tsui-Wei Weng
Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection. Trans. Mach. Learn. Res. 2023 (2023)
Yi Huang, Ying Li, Guillaume Jourjon, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Darren Webb, Richard Yi Da Xu
Calibrated reconstruction based adversarial autoencoder model for novelty detection. Pattern Recognit. Lett. 169 (2023)
Sen Pei, Jiaxi Sun, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng
Domain Decorrelation with Potential Energy Ranking. AAAI (2023)
Sen Pei, Jiaxi Sun, Richard Yi Da Xu, Bin Fan, Shiming Xiang, Gaofeng Meng
Free Lunch for Generating Effective Outlier Supervision. CoRR (2023)
Haotian Li, Lingzhi Wang, Yuliang Wei, Richard Yi Da Xu, Bailing Wang
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation. CoRR (2023)
Qimeng Cao, Qing Yin, Yunya Song, Zhihua Wang, Yujun Chen, Richard Yi Da Xu, Xian Yang
RTANet: Recommendation Target-Aware Network Embedding. ICWSM (2023)
Chenghao Zhang, Gaofeng Meng, Richard Yi Da Xu, Shiming Xiang, Chunhong Pan
Learning adversarial point-wise domain alignment for stereo matching. Neurocomputing 491 (2022)
Shuai Jiang, Kan Li, Richard Yi Da Xu
Magnitude Bounded Matrix Factorisation for Recommender Systems. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Xian Yang, Shuo Wang, Yuting Xing, Ling Li, Richard Yi Da Xu, Karl J. Friston, Yike Guo
Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19. PLoS Comput. Biol. 18 (2) (2022)
Ying Li, Yi Huang, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Guillaume Jourjon, Darren Webb, David B. Smith, Richard Yi Da Xu
From traffic classes to content: A hierarchical approach for encrypted traffic classification. Comput. Networks 212 (2022)
Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu
Unsupervised Clothing Change Adaptive Person ReID. IEEE Signal Process. Lett. 29 (2022)
Yi Huang, Ying Li, Timothy Heyes, Guillaume Jourjon, Adriel Cheng, Suranga Seneviratne, Kanchana Thilakarathna, Darren Webb, Richard Yi Da Xu
Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout. Pattern Recognit. Lett. 159 (2022)
Wei Huang, Chunrui Liu, Yilan Chen, Tianyu Liu, Richard Yi Da Xu
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning. CoRR (2022)
Sen Pei, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng
Alleviating Mode Collapse in GAN via Diversity Penalty Module. CoRR (2021)
Chapman Siu, Jason M. Traish, Richard Yi Da Xu
Dual Behavior Regularized Reinforcement Learning. CoRR (2021)
Christos Markos, James J. Q. Yu, Richard Yi Da Xu
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning. AAAI (2021)
Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen
Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss. CoRR (2021)
Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu
Resolution-invariant Person ReID Based on Feature Transformation and Self-weighted Attention. CoRR (2021)
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Kerrie L. Mengersen
Kernelized Sparse Bayesian Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu
Resolution-Invariant Person Reid Based On Feature Transformation And Self-Weighted Attention. ICIP (2021)
Chapman Siu, Jason Traish, Richard Yi Da Xu
Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures. CoRR (2021)
Wei Huang, Weitao Du, Richard Yi Da Xu
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. IJCAI (2021)
Wei Huang, Richard Yi Da Xu
Gaussian process latent variable model factorization for context-aware recommender systems. Pattern Recognit. Lett. 151 (2021)
Chapman Siu, Jason M. Traish, Richard Yi Da Xu
Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning. CoRR (2021)
Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Yang Li, Richard Yi Da Xu
RGB-IR cross-modality person ReID based on teacher-student GAN model. Pattern Recognit. Lett. 150 (2021)
Chapman Siu, Jason Traish, Richard Yi Da Xu
Dynamic Coordination Graph for Cooperative Multi-Agent Reinforcement Learning. ACML (2021)
Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao
Mean Field Theory for Deep Dropout Networks: Digging up Gradient Backpropagation Deeply. ECAI (2020)
Yang Li, Kan Li, Xinxin Wang, Richard Yi Da Xu
Exploring temporal consistency for human pose estimation in videos. Pattern Recognit. 103 (2020)
Wei Huang, Weitao Du, Richard Yi Da Xu, Chunrui Liu
Implicit bias of deep linear networks in the large learning rate phase. CoRR (2020)
Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Yang Li, Richard Yi Da Xu
RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model. CoRR (2020)
Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason M. Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu
End-to-end Dynamic Matching Network for Multi-view Multi-person 3D Pose Estimation. ECCV (28) (2020)
Wei Huang, Weitao Du, Richard Yi Da Xu
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization. CoRR (2020)
Yang Li, Kan Li, Shuai Jiang, Ziyue Zhang, Congzhentao Huang, Richard Yi Da Xu
Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation. AAAI (2020)
Ziyue Zhang, Richard Yi Da Xu, Shuai Jiang, Yang Li, Congzhentao Huang, Chen Deng
Illumination Adaptive Person Reid Based on Teacher-Student Model and Adversarial Training. ICIP (2020)
Caoyuan Li, Hong-Bo Xie, Kerrie L. Mengersen, Xuhui Fan, Richard Yi Da Xu, Scott A. Sisson, Sabine Van Huffel
Bayesian Nonnegative Matrix Factorization With Dirichlet Process Mixtures. IEEE Trans. Signal Process. 68 (2020)
Hong-Bo Xie, Caoyuan Li, Kerrie L. Mengersen, Shuliang Wang, Richard Yi Da Xu
Nonparametric Bayesian Nonnegative Matrix Factorization. MDAI (2020)
Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao
Mean field theory for deep dropout networks: digging up gradient backpropagation deeply. CoRR (2019)
Caoyuan Li, Hong-Bo Xie, Xuhui Fan, Richard Yi Da Xu, Sabine Van Huffel, Scott A. Sisson, Kerrie L. Mengersen
Image Denoising Based on Nonlocal Bayesian Singular Value Thresholding and Stein's Unbiased Risk Estimator. IEEE Trans. Image Process. 28 (10) (2019)
Wanming Huang, Richard Yi Da Xu, Ian Oppermann
Efficient Diversified Mini-Batch Selection using Variable High-layer Features. ACML (2019)
Hong-Bo Xie, Caoyuan Li, Richard Yi Da Xu, Kerrie L. Mengersen
Robust Kernelized Bayesian Matrix Factorization for Video Background/Foreground Separation. LOD (2019)
Wanming Huang, Richard Yi Da Xu, Ian Oppermann
Realistic Image Generation using Region-phrase Attention. ACML (2019)
Wei He, Changyin Sun, Donald C. Wunsch, Richard Yi Da Xu
Guest Editorial Special Issue on Intelligent Control Through Neural Learning and Optimization for Human-Machine Hybrid Systems. IEEE Trans. Neural Networks Learn. Syst. 30 (12) (2019)
Zhenguo Shi, J. Andrew Zhang, Richard Yi Da Xu, Qingqing Cheng
Deep Learning Networks for Human Activity Recognition with CSI Correlation Feature Extraction. ICC (2019)
Wei Huang, Richard Yi Da Xu
Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems. CoRR (2019)
Shuai Jiang, Kan Li, Richard Yi Da Xu
Relative Pairwise Relationship Constrained Non-Negative Matrix Factorisation. IEEE Trans. Knowl. Data Eng. 31 (8) (2019)
Xiang Feng, Wanggen Wan, Richard Yi Da Xu, Haoyu Chen, Pengfei Li, J. Alfredo Sánchez
A perceptual quality metric for 3D triangle meshes based on spatial pooling. Frontiers Comput. Sci. 12 (4) (2018)
Shuai Jiang, Kan Li, Richard Yi Da Xu
Magnitude Bounded Matrix Factorisation for Recommender Systems. CoRR (2018)
Xiang Feng, Wanggen Wan, Richard Yi Da Xu, Stuart W. Perry, Pengfei Li, Song Zhu
A novel spatial pooling method for 3D mesh quality assessment based on percentile weighting strategy. Comput. Graph. 74 (2018)
Ying Li, Yi Huang, Richard Yi Da Xu, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Darren Webb, Guillaume Jourjon
Deep Content: Unveiling Video Streaming Content from Encrypted WiFi Traffic. NCA (2018)
Wankou Yang, Jun Li, Hao Zheng, Richard Yi Da Xu
A Nuclear Norm Based Matrix Regression Based Projections Method for Feature Extraction. IEEE Access 6 (2018)
Zhenguo Shi, J. Andrew Zhang, Richard Yi Da Xu, Gengfa Fang
Human Activity Recognition Using Deep Learning Networks with Enhanced Channel State Information. GLOBECOM Workshops (2018)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes. IEEE Trans. Neural Networks Learn. Syst. 29 (5) (2018)
Xiang Feng, Wanggen Wan, Richard Yi Da Xu, Stuart W. Perry, Song Zhu, Zexin Liu
A new mesh visual quality metric using saliency weighting-based pooling strategy. Graph. Model. 99 (2018)
Chapman Siu, Richard Yi Da Xu
Diverse Online Feature Selection. CoRR (2018)
Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
AdOn HDP-HMM: An Adaptive Online Model for Segmentation and Classification of Sequential Data. IEEE Trans. Neural Networks Learn. Syst. 29 (9) (2018)
Jiatong Li, Chenwei Deng, Richard Yi Da Xu, Dacheng Tao, Baojun Zhao
Robust Object Tracking With Discrete Graph-Based Multiple Experts. IEEE Trans. Image Process. 26 (6) (2017)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization. CoRR (2017)
Yufei Chen, Xiaodong Yue, Richard Yi Da Xu, Hamido Fujita
Region scalable active contour model with global constraint. Knowl. Based Syst. 120 (2017)
Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song
Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network. IEEE Trans. Cybern. 47 (3) (2017)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes. IEEE Trans. Knowl. Data Eng. 29 (7) (2017)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
A Bayesian nonparametric model for multi-label learning. Mach. Learn. 106 (11) (2017)
Weidong Liu, Xiangfeng Luo, Jun Zhang, Ruirong Xue, Richard Yi Da Xu
Semantic summary automatic generation in news event. Concurr. Comput. Pract. Exp. 29 (24) (2017)
Maoying Qiao, Richard Yi Da Xu, Wei Bian, Dacheng Tao
Fast Sampling for Time-Varying Determinantal Point Processes. ACM Trans. Knowl. Discov. Data 11 (1) (2016)
Furong Peng, Xuan Lu, Jianfeng Lu, Richard Yi Da Xu, Cheng Luo, Chao Ma, Jingyu Yang
MetricRec: Metric Learning for Cold-Start Recommendations. ADMA (2016)
Qiang Li, Wei Bian, Richard Yi Da Xu, Jane You, Dacheng Tao
Random Mixed Field Model for Mixed-Attribute Data Restoration. AAAI (2016)
Furong Peng, Jianfeng Lu, Yongli Wang, Richard Yi Da Xu, Chao Ma, Jingyu Yang
N-dimensional Markov random field prior for cold-start recommendation. Neurocomputing 191 (2016)
Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao
Diversified hidden Markov models for sequential labeling. ICDE (2016)
Jiatong Li, Baojun Zhao, Chenwei Deng, Richard Yi Da Xu
Time Varying Metric Learning for visual tracking. Pattern Recognit. Lett. 80 (2016)
Xuhui Fan, Richard Yi Da Xu, Longbing Cao
Copula Mixed-Membership Stochastic Blockmodel. IJCAI (2016)
Maoying Qiao, Wei Bian, Richard Yi Da Xu, Dacheng Tao
Diversified Hidden Markov Models for Sequential Labeling. IEEE Trans. Knowl. Data Eng. 27 (11) (2015)
Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
An Adaptive Online HDP-HMM for Segmentation and Classification of Sequential Data. CoRR (2015)
Michael Kemp, Richard Yi Da Xu
Geometrically-constrained balloon fitting for multiple connected ellipses. Pattern Recognit. 48 (7) (2015)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
Nonparametric Relational Topic Models through Dependent Gamma Processes. CoRR (2015)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process. CoRR (2015)
Xuhui Fan, Longbing Cao, Richard Yi Da Xu
Dynamic Infinite Mixed-Membership Stochastic Blockmodel. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo
Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. ICDM (2015)
Minqi Li, Richard Yi Da Xu, Xiangjian He
Face hallucination based on nonparametric Bayesian learning. ICIP (2015)
Ava Bargi, Richard Yi Da Xu, Zoubin Ghahramani, Massimo Piccardi
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response. AISTATS (2014)
Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
An Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data. ICPR (2014)
Xuhui Fan, Longbing Cao, Richard Yi Da Xu
Dynamic Infinite Mixed-Membership Stochastic Blockmodel. CoRR (2013)
Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
A non-parametric conditional factor regression model for high-dimensional input and response. CoRR (2013)
Ehsan Zare Borzeshi, Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi
Joint Action Segmentation and Classification by an Extended Hidden Markov Model. IEEE Signal Process. Lett. 20 (12) (2013)
Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song
Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network. CoRR (2013)
Xuhui Fan, Longbing Cao, Richard Yi Da Xu
Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations. CoRR (2013)
Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
An online HDP-HMM for joint action segmentation and classification in motion capture data. CVPR Workshops (2012)
Ehsan Zare Borzeshi, Massimo Piccardi, Richard Yi Da Xu
A discriminative prototype selection approach for graph embedding in human action recognition. ICCV Workshops (2011)
Ehsan Zare Borzeshi, Richard Yi Da Xu, Massimo Piccardi
Automatic Human Action Recognition in Videos by Graph Embedding. ICIAP (2) (2011)
Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi
Compressive Sensing of Time Series for Human Action Recognition. DICTA (2010)
Richard Yi Da Xu, Michael Kemp
Fitting Multiple Connected Ellipses to an Image Silhouette Hierarchically. IEEE Trans. Image Process. 19 (7) (2010)
Óscar Pérez Concha, Richard Yi Da Xu, Massimo Piccardi
Robust Dimensionality Reduction for Human Action Recognition. DICTA (2010)
Richard Yi Da Xu, Michael Kemp
An iterative approach for fitting multiple connected ellipse structure to silhouette. Pattern Recognit. Lett. 31 (13) (2010)
Richard Yi Da Xu, Michael Kemp
Multiple curvature based approach to human upper body parts detection with connected ellipse model fine-tuning. ICIP (2009)
Richard Yi Da Xu, Junbin Gao, Michael Antolovich
Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras. ICME (2008)
Richard Yi Da Xu, Joshua M. Brown, Jason M. Traish, Daniel Dezwa
A computer vision based camera pedestal's vertical motion control. ICPR (2008)
Richard Yi Da Xu
A Computer Vision based Whiteboard Capture System. WACV (2008)
Richard Yi Da Xu, Jesse S. Jin
Individual Object Interaction for Camera Control and Multimedia Synchronization. ICASSP (5) (2006)